JavaScript is a high-level, dynamic, untyped, and interpreted programming language. There are several outgrowth languages that are based on JavaScript. In the case of Jupyter, the underlying JavaScript is really Node.js. Node.js is an event-based framework that uses JavaScript, which can be used to develop large, scalable applications. Note that this is in contrast to the earlier languages covered in this book which are primarily used for data analysis (Python is a general language as well, but has clear aspects that deal with its capabilities of performing data analysis).
In this chapter, we will cover the following topics:
- Adding JavaScript packages to Jupyter
- JavaScript Jupyter Notebook
- Basic JavaScript in Jupyter
- Node.js d3 package
- Node.js stats-analysis package
- Node.js JSON handling
- Node.js canvas package...
